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Factors affecting the mature use of electronic medical records by primary care physicians: a systematic review

Overview of attention for article published in BMC Medical Informatics and Decision Making, February 2021
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1 X user

Citations

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22 Dimensions

Readers on

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152 Mendeley
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Title
Factors affecting the mature use of electronic medical records by primary care physicians: a systematic review
Published in
BMC Medical Informatics and Decision Making, February 2021
DOI 10.1186/s12911-021-01434-9
Pubmed ID
Authors

Rana Melissa Rahal, Jay Mercer, Craig Kuziemsky, Sanni Yaya

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 152 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 11%
Student > Bachelor 10 7%
Researcher 9 6%
Student > Ph. D. Student 9 6%
Student > Doctoral Student 7 5%
Other 29 19%
Unknown 72 47%
Readers by discipline Count As %
Nursing and Health Professions 18 12%
Medicine and Dentistry 17 11%
Business, Management and Accounting 10 7%
Computer Science 9 6%
Social Sciences 4 3%
Other 18 12%
Unknown 76 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 November 2023.
All research outputs
#20,170,622
of 24,793,937 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,656
of 2,114 outputs
Outputs of similar age
#324,669
of 426,441 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#47
of 55 outputs
Altmetric has tracked 24,793,937 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,114 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 426,441 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.